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Related Experiment Videos

PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins.

Henry Bigelow1, Burkhard Rost

  • 1CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, New York, NY 10032, USA. hrbigelow@gmail.com

Nucleic Acids Research
|July 18, 2006
PubMed
Summary

PROFtmb accurately predicts transmembrane beta-barrel (TMB) proteins in Gram-negative bacteria. This tool identifies TMBs and their structures, aiding in bacterial membrane protein research.

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Structural Biology

Background:

  • Transmembrane beta-barrel (TMB) proteins are crucial components of the outer membranes in Gram-negative bacteria.
  • Identifying and characterizing TMBs is essential for understanding bacterial physiology and developing novel therapeutics.

Purpose of the Study:

  • To develop and present PROFtmb, a computational tool for predicting TMB proteins.
  • To provide accurate per-residue structural information for identified TMBs.

Main Methods:

  • PROFtmb utilizes a profile-based Hidden Markov Model (HMM) architecture.
  • The model's architecture is designed to mirror the structural characteristics of TMBs.
  • An 8-fold cross-validation was employed to assess prediction accuracy.

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Main Results:

  • PROFtmb achieves 86% per-residue prediction accuracy.
  • Whole-protein discrimination accuracy reached 70% at 60% coverage.
  • The web server offers predictions for entire proteomes of 78 Gram-negative bacteria.

Conclusions:

  • PROFtmb is an effective tool for identifying TMBs in Gram-negative bacteria.
  • The tool provides valuable structural insights, including strand orientation and loop/hairpin identification.
  • The freely available web server facilitates large-scale screening and research.